سال انتشار: ۱۳۸۴
محل انتشار: سیزدهیمن کنفرانس مهندسی برق ایران
تعداد صفحات: ۶
Safar Hatami – Department of Electrical and Computer Engineering، University of Tehran
Shervin Sharifi1 – Department of Electrical and Computer Engineering، University of Tehran
Mahmoud Kamarei – Department of Electrical and Computer Engineering، University of Tehran
Hossein Ahmadi – Department of Electrical and Computer Engineering University of British Columbia
In this paper, we present an algorithm and VLSI hardware of a real-time image compression that is based on Vector Quantization (VQ) of Discrete Wavelet Transform (DWT) coefficients. Containing the hardware of both Wavelet and VQ, this architecture is capable of performing real-time image compression for grayscale and 24 bit color image with a resolution of 1024×۱۰۲۴ pixels. The algorithm of 2D DWT is lifting-basednonseparable 2D DWT. Difference-Codebook Binary Tree Search VQ (DC-BTSVQ) is used in the algorithm that lead to a high speed encoder. Binary Tree Search VQ (BTSVQ) also requires low hardware in VLSI implementation. The proposed real-time Wavelet Vector Quantization (WVQ) algorithm combines the multistage VQ (MSVQ) and the classified VQ (CVQ). The MSVQ encodes the lowest frequency subbands ofwavelet coefficients and has the advantage of the robustness to wireless channel fading. The CVQ encodes other higher frequency subbands and results the high coding efficiency.